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A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda

Overview of attention for article published in BMC Pregnancy and Childbirth, March 2017
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  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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153 Mendeley
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Title
A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda
Published in
BMC Pregnancy and Childbirth, March 2017
DOI 10.1186/s12884-017-1289-5
Pubmed ID
Authors

Rornald Muhumuza Kananura, Robert Wamala, Elizabeth Ekirapa-Kiracho, Moses Tetui, Suzanne N. Kiwanuka, Peter Waiswa, Leonard K. Atuhaire

Abstract

Neonatal and maternal health services have a bearing on neonatal mortality. Direct and indirect factors affecting neonatal health outcomes therefore require understanding to enable well-targeted interventions. This study, therefore, assessed the interrelationship between newborn health outcomes and maternal service utilization factors. We investigated maternal health utilization factors using health facility delivery and at least four Antenatal Care (ANC) visits; and newborn health outcomes using newborn death and low birth weight (LBW). We used data from a household cross-sectional survey that was conducted in 2015 in Kamuli, Pallisa and Kibuku districts. We interviewed 1946 women who had delivered in the last 12 months. The four interrelated (Endogenous) outcomes were ANC attendance, health facility delivery, newborn death, and LBW. We performed analysis using a structural equation modeling technique. A history of newborn death (aOR = 12.64, 95% CI 5.31-30.10) and birth of a LBW baby (aOR = 3.51, 95% CI 1.48-8.37) were directly related to increased odds of newborn death. Factors that reduced the odds of LBW as a mediating factor for newborn death were ANC fourth time attendance (aOR = 0.62, 95% CI 0.45-0.85), having post-primary level education (aOR = 0.68, 95% CI 0.46-0.98) compared to none and being gravida three (aOR = 0.49, 95% CI 0.26-0.94) compared to being gravida one. Mother's age group, 20-24 (aOR = 0.24, 95% CI 0.08-0.75) and 25-29 years (aOR = 0.20, 95% CI 0.05-0.86) compared to 15-19 years was also associated with reduced odds of LBW. Additionally, ANC visits during the first trimester (aOR = 2.04, 95% CI 1.79-2.34), and village health teams (VHTs) visits while pregnant (aOR = 1.14, 95% CI 1.01-1.30) were associated with increased odds of at least four ANC visits, which is a mediating factor for health facility delivery, LBW and newborn death. Surprisingly, newborn death was not significantly different between health facility and community deliveries. Attending ANC at least four times was a mediating factor for reduced newborn death and low birth weight. Interventions in maternal health and newborn health should focus on factors that increase ANC fourth time attendance and those that reduce LBW especially in resource-limited settings. Targeting women with high-risk pregnancies is also crucial for reducing newborn deaths.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 153 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 22%
Researcher 21 14%
Student > Bachelor 16 10%
Student > Doctoral Student 11 7%
Student > Ph. D. Student 10 7%
Other 19 12%
Unknown 42 27%
Readers by discipline Count As %
Nursing and Health Professions 36 24%
Medicine and Dentistry 31 20%
Social Sciences 11 7%
Agricultural and Biological Sciences 9 6%
Economics, Econometrics and Finance 4 3%
Other 16 10%
Unknown 46 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2017.
All research outputs
#6,850,054
of 22,961,203 outputs
Outputs from BMC Pregnancy and Childbirth
#1,889
of 4,221 outputs
Outputs of similar age
#109,039
of 308,951 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#32
of 60 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,951 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.